Ratings and Reviews 0 Ratings
Ratings and Reviews 88 Ratings
What is Siemens Industrial Edge?
Siemens Industrial Edge is an industrial edge computing platform built to help manufacturers capture, process, and act on shop floor data in real time. It combines edge devices, applications, OT and IT connectivity, centralized management, and ecosystem solutions into one scalable platform. The solution is designed to make data and software management more efficient across factory environments while reducing IT effort and operational complexity. Industrial Edge allows manufacturers to connect machines, production systems, and enterprise applications so they can gain better visibility into operations. It supports data exchange with cloud platforms, IIoT SaaS tools, ERP systems, MES, SCADA systems, MQTT brokers, and other industrial data sources. The platform helps manufacturers standardize production data, monitor OEE, detect performance issues, and minimize downtime with real-time analytics. Its intelligent maintenance capabilities support predictive insights, proactive intervention, and more efficient resource planning through hybrid edge-cloud architectures. Siemens Industrial Edge also enables software-defined automation with virtualized control and HMI capabilities such as SIMATIC S7-1500V and SIMATIC WinCC Unified for Industrial Edge. Manufacturers can deploy AI models directly on the shop floor to support defect detection, process monitoring, workflow optimization, and quality improvement. Centralized management makes it easier to scale apps and devices across distributed locations while maintaining secure infrastructure and reliable software rollout. With its combination of edge computing, industrial connectivity, analytics, automation, and AI, Siemens Industrial Edge helps factories become more productive, flexible, and data-driven.
What is HiveMQ?
HiveMQ provides the most trusted IoT data streaming and Industrial AI platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone.
What HiveMQ is known for:
1. MQTT-native: Built around the MQTT standard, purpose-designed for event-driven, real-time communication
2. Enterprise-grade reliability: Handles millions of concurrent connections with high availability and fault tolerance
3. Industrial-ready: Widely used in IIoT, manufacturing, automotive, energy, smart infrastructure, and data centers
4. Scalable & secure: Supports global deployments with strong security, governance, and observability
5. UNS & IT/OT convergence enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.
Integrations Supported
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
MSIGHTS
Microsoft Azure
Integrations Supported
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
MSIGHTS
Microsoft Azure
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.34/hour
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Siemens
Date Founded
1847
Company Location
Germany
Company Website
www.siemens.com/en-us/products/industrial-edge/
Company Facts
Organization Name
HiveMQ
Date Founded
2012
Company Location
Germany
Company Website
www.hivemq.com
Categories and Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Categories and Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Message Queue
Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling